CRAN

AdaptGauss 1.3.3

Gaussian Mixture Models (GMM)

Released Mar 15, 2017 by Florian Lerch

This package is available for Renjin and there are no known compatibility issues.

Dependencies

caTools 1.17.1 ggplot2 2.2.1 shiny 1.0.5

Multimodal distributions can be modelled as a mixture of components. The model is derived using the Pareto Density Estimation (PDE) for an estimation of the pdf. PDE has been designed in particular to identify groups/classes in a dataset. Precise limits for the classes can be calculated using the theorem of Bayes. Verification of the model is possible by QQ plot, Chi-squared test and Kolmogorov-Smirnov test. The package is based on the publication of Ultsch, A., Thrun, M.C., Hansen-Goos, O., Lotsch, J. (2015) .

Installation

Maven

This package can be included as a dependency from a Java or Scala project by including the following your project's pom.xml file. Read more about embedding Renjin in JVM-based projects.

<dependencies>
  <dependency>
    <groupId>org.renjin.cran</groupId>
    <artifactId>AdaptGauss</artifactId>
    <version>1.3.3-b14</version>
  </dependency>
</dependencies>
<repositories>
  <repository>
    <id>bedatadriven</id>
    <name>bedatadriven public repo</name>
    <url>https://nexus.bedatadriven.com/content/groups/public/</url>
  </repository>
</repositories>

View build log

Renjin CLI

If you're using Renjin from the command line, you load this library by invoking:

library('org.renjin.cran:AdaptGauss')

Test Results

This package was last tested against Renjin 0.8.2561 on Dec 22, 2017.

Source

R

View GitHub Mirror

Release History